The answer is the Azure OCR Read API, as it is the correct Computer Vision capability for extracting both printed and handwritten text from images. This API is specifically designed to handle diverse fonts, sizes, and styles, making it ideal for reading shipping labels that combine machine-printed barcodes with handwritten addresses. On the AI-900 exam, this question tests your understanding of the Read API’s specialized role within Azure’s OCR services, often contrasting it with the simpler OCR API, which only handles printed text. A common trap is confusing the Read API with the general OCR API—remember that “Read” implies it can also decipher handwriting. For the exam, focus on the keyword “handwritten” in the scenario; if the requirement includes handwritten text, the Read API is always the answer. Memory tip: “Read” rhymes with “lead,” and it leads the way for both print and script.
AI-900 Practice Question: The Read API is part of Azure Computer Vision.
This AI-900 practice question tests your understanding of describe features of computer vision workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: the Read API is part of Azure Computer Vision.. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A logistics company needs to automatically read shipping labels on packages, which include text printed in various fonts and sizes, as well as handwritten addresses. Which Azure Computer Vision capability should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Optical Character Recognition (OCR) via the Read API
The Read API is the correct choice because it is specifically designed for extracting printed and handwritten text from images, handling various fonts, sizes, and styles. This makes it ideal for reading shipping labels that contain both machine-printed text and handwritten addresses.
Key principle: The Read API is part of Azure Computer Vision.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Optical Character Recognition (OCR) via the Read API
Why this is correct
The Read API extracts text from images, including handwritten and printed text, making it ideal for reading shipping labels.
Related concept
The Read API is part of Azure Computer Vision.
✗
Dense Captioning
Why it's wrong here
Dense captioning generates descriptive captions for image regions, not text extraction.
✗
Image Analysis - Object Detection
Why it's wrong here
Object detection locates objects in an image, not text.
✗
Image Analysis - Tagging
Why it's wrong here
Tagging assigns descriptive tags to images but does not extract text.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse general image analysis capabilities (like tagging or object detection) with text extraction, not realizing that OCR via the Read API is the dedicated service for reading text from images.
Detailed technical explanation
How to think about this question
The Read API uses a deep-learning-based OCR engine that processes images in two stages: first, it detects text regions using a text detection model, then it recognizes the characters using a recognition model trained on both printed and handwritten text. It can handle skewed, rotated, and low-contrast text, making it robust for real-world shipping labels that may be damaged or poorly lit.
KKey Concepts to Remember
The Read API is part of Azure Computer Vision.
It specializes in extracting text from images, including printed and handwritten text.
It can handle various fonts, sizes, and orientations of text.
The Read API provides bounding box coordinates for extracted text.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
The Read API is part of Azure Computer Vision.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — The Read API is part of Azure Computer Vision..
What is the correct answer to this question?
The correct answer is: Optical Character Recognition (OCR) via the Read API — The Read API is the correct choice because it is specifically designed for extracting printed and handwritten text from images, handling various fonts, sizes, and styles. This makes it ideal for reading shipping labels that contain both machine-printed text and handwritten addresses.
What should I do if I get this AI-900 question wrong?
Review the Read API is part of Azure Computer Vision., then practise related AI-900 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
The Read API is part of Azure Computer Vision.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A logistics company needs to automatically extract printed and handwritten text from scanned shipping labels. Which Azure Computer Vision capability should they use?
easy
A.Azure Face API
✓ B.Azure Computer Vision Read API
C.Azure Custom Vision
D.Azure Video Indexer
Why B: The Azure Computer Vision Read API is specifically designed to extract printed and handwritten text from images and documents, such as scanned shipping labels. It uses optical character recognition (OCR) to process text in various languages and formats, making it the correct choice for this logistics scenario.
Variation 2. A logistics company needs to automatically read shipping labels on packages. The labels contain printed text in various fonts and sizes, as well as handwritten addresses. Which Azure Computer Vision capability should they use to extract the text from the labels?
medium
A.Image Analysis
B.Face API
✓ C.Optical Character Recognition (OCR) - Read API
D.Custom Vision
Why C: The Read API (part of Azure Computer Vision's OCR capabilities) is specifically designed to extract printed and handwritten text from images, handling varied fonts, sizes, and styles. This makes it the correct choice for reading shipping labels that contain both printed text and handwritten addresses.
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